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product-manager-toolkit

Prioritize features with RICE scoring and analyze customer interview transcripts.

Updated Feb 27, 2026
Search Tags:#product management#prioritization#PRD#product strategy#customer discovery#RICE framework
One-click install
npx skills add https://github.com/amanhsn/flyerbuild --skill product-manager-toolkit-amanhsn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product-manager-toolkit
Source: https://github.com/amanhsn/flyerbuild/tree/main/.cursor/skills/product-manager-toolkit
Command: npx skills add https://github.com/amanhsn/flyerbuild --skill product-manager-toolkit-amanhsn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires csv, json, re, collections, argparse, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines product management workflows, from prioritizing features to synthesizing customer feedback, enabling data-driven decision-making and efficient product development.

Core Features & Use Cases

  • Feature Prioritization: Utilize the RICE framework to objectively score and rank features based on Reach, Impact, Confidence, and Effort.
  • Customer Discovery: Analyze interview transcripts to identify pain points, extract feature requests, and understand Jobs-to-be-Done.
  • PRD Development: Access templates and guidance for creating clear and effective Product Requirements Documents.
  • Use Case: A product manager needs to decide which features to build next quarter. They can use the RICE prioritizer with their feature backlog to get a data-backed ranking, then use the interview analyzer on recent customer calls to validate the impact of top contenders.

Quick Start

Use the product manager toolkit to prioritize features listed in 'new_features.csv' with a team capacity of 15 person-months.

Frequently Asked Questions about product-manager-toolkit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prioritize features using the RICE framework from a CSV file?▼

Feature prioritization uses a Python script to score and rank features in a CSV file based on RICE metrics. It calculates Reach, Impact, Confidence, and Effort to generate a data-backed ranking for your product strategy.

Can I analyze customer interview transcripts to identify pain points and Jobs-to-be-Done?▼

Yes, customer discovery analysis processes interview transcripts to extract pain points, feature requests, and Jobs-to-be-Done. This helps validate product impact by synthesizing qualitative feedback into actionable insights.

What do I need to use the product manager toolkit for feature prioritization?▼

You need a CSV file containing your feature backlog with RICE parameters. The Python scripts also utilize standard libraries like json, re, and collections to process your data and output prioritized rankings.

How do I create a Product Requirements Document using this toolkit?▼

PRD development is supported through Markdown reference templates and guidance included in the toolkit. These references provide structure for creating clear and effective product requirements documentation.

Does the RICE prioritizer support team capacity constraints?▼

Yes, the RICE prioritizer accepts a team capacity parameter, such as person-months, to filter and rank features. This ensures your data-backed feature selection respects available development resources.

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